Quick answer

An AI audit checklist provides a structured evaluation framework covering governance structures, risk management processes, data quality controls, model performance, fairness measures, transparency mechanisms, and regulatory compliance status.

Updated June 2026 · MmowW AI Compliance

AI Audit Checklist Template: Comprehensive Evaluation Guide (2026)

Using This Checklist

This checklist provides a structured framework for evaluating AI system compliance. Adapt it to your specific regulatory requirements, organizational context, and AI system characteristics. Not every item will apply to every system; scope the checklist based on the system's risk classification and applicable regulations.

Governance and Accountability

Risk Management

Check ItemEU AI Act ReferenceStatus
Risk assessment completed and currentArticle 9
Residual risks identified and documentedArticle 9(4)
Risk mitigation measures implementedArticle 9(2)
Risk assessment updated for material changesArticle 9(1)
Combined risks from interaction with other systems assessedArticle 9(8)

Data Governance

Technical Documentation

DocumentEU AI Act ReferenceStatus
System description and intended purposeAnnex IV(1)
Development methodology documentationAnnex IV(2)
Architecture and design decisionsAnnex IV(2)(b)
Testing and validation resultsAnnex IV(3)
Performance metrics and benchmarksAnnex IV(3)
Instructions for useArticle 13

Transparency and Human Oversight

Monitoring and Maintenance

Regulatory Compliance

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This article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.